PhD Scholarship in Privacy Engineering: Explore exciting PhD opportunities in privacy engineering research with a dynamic team at Distrinet Research. Dive into cutting-edge projects at the intersection of privacy, AI, and source code analysis, contributing to innovative solutions that address contemporary privacy threats.
- 🕵️♂️ Privacy Engineering through Source Code Analysis: Researchers will focus on privacy threat modeling analysis by exploring techniques for architectural reconstruction through source code analysis.
- 🧠 Privacy Engineering with AI: This role involves researching AI and Machine Learning solutions for privacy threat analysis and risk assessment.
- 🔒 Privacy Engineering with Privacy-Enhancing Technologies: Researchers will explore and analyze PETs to effectively address privacy threats.
- 🤖 Privacy Engineering for AI: This position entails delving into AI-specific privacy threat knowledge and assessing PETs for diverse AI-based applications.
- 📊 Analysis and Visualization of Privacy Threats and Risks: Researchers will design solutions to analyze and visualize complex privacy risk data, making it actionable.
Summary Table:
| Scholarship Position | Study Area |
|---|---|
| Privacy Engineering through Source Code Analysis | Privacy Engineering |
| Privacy Engineering with AI | AI and Privacy Engineering |
| Privacy Engineering with Privacy-Enhancing Technologies | Privacy Threat Mitigation and PETs |
| Privacy Engineering for AI | Privacy Engineering for AI |
| Analysis and Visualization of Privacy Threats and Risks | Privacy Threat Analysis and Visualization |
Study Area: Privacy Engineering
Scholarship Description: Are you passionate about privacy and eager to delve into code? Join our team as a PhD researcher and contribute to innovative solutions in privacy engineering. Explore various research tracks, including leveraging source code analysis, AI, Privacy-Enhancing Technologies (PETs), and visualization techniques to address contemporary privacy threats. Work alongside experienced researchers and make a significant impact in advancing privacy engineering practices.
Eligibility: Applicants must hold a Master’s degree (or equivalent) in Computer Science, Engineering, or a related field. Strong programming skills and a keen interest in privacy engineering are essential. Prior research experience in relevant areas is preferred.
Required Documents:
- CV with relevant research experience
- Motivation letter
- Study curriculum with rankings
- English proficiency certificate
- PDF of diploma and transcripts
- Name and email of two reference persons, along with the nature of contact with them
How to Apply: Send an email to the relevant contact, including the required documents mentioned above. Visit the application links provided for specific positions of interest.
Last Date: Rolling applications accepted until positions are filled. Apply early to secure your spot in our dynamic research team.
